Evidence map›Paper›PMID 20700585›Full record

ArticleThe Journal of membrane biology2010

Lipidbook: a public repository for force-field parameters used in membrane simulations.

Jan Domański, Phillip J Stansfeld, Mark S P Sansom, Oliver Beckstein

Abstract read
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Article in The Journal of membrane biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

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  14. How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs.International journal of molecular sciences · 2020
    Review
  15. Article
  16. A combined activation mechanism for the glucagon receptor.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Understanding Ligand Binding Selectivity in a Prototypical GPCR Family.Journal of chemical information and modeling · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jan DomańskiDepartment of Biochemistry, University of Oxford, Oxford, UK.
Phillip J Stansfeld
Mark S P Sansom
Oliver Beckstein

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

Lipidbook is a public database for force-field parameters with a special emphasis on lipids, detergents and similar molecules that are of interest when simulating biological membrane systems. It stores parameter files that are supplied by the community. Topologies, parameters and lipid or whole bilayer structures can be deposited in any format for any simulation code, preferably under a license that promotes "open knowledge." A number of mechanisms are implemented to aid a user in judging the appropriateness of a given parameter set for a project. For instance, parameter sets are versioned, linked to the primary citation via PubMed identifier and digital object identifier (DOI), and users can publicly comment on deposited parameters. Licensing and, hence, the conditions for use and dissemination of academically generated data are often unclear. In those cases it is also possible to provide a link instead of uploading a file. A snapshot of the linked file is then archived using the WebCite(®) service without further involvement of the user or Lipidbook, thus ensuring a transparent and permanent history of the parameter set. Lipidbook can be accessed freely online at http://lipidbook.bioch.ox.ac.uk. Deposition of data requires online registration.

Indexed as

Database Management SystemsDatabases, FactualInternetModels, BiologicalAnimalsCell MembraneComputer SimulationData MiningDetergentsHumansLipidsModels, ChemicalDetergentsLipids

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.